Skip to main content

Machine Unlearning #0 (Intro)

You might be familiar with the term Machine Learning. Worry not if you have not, cause I have tried to give a gist of the concept here. The term has been in the limelight of late and has been tossed around rather liberally to denote anything related to artificial intelligence, robotics, and data mining. Machine Learning, as the name suggests, could simply mean the field of study of enabling the “machines” (computers) to “learn” from past experiences and make informed decisions in the future.  


Wait a minute! Learning from past experiences is something humans do, right? Exactly! The computer folks want computers to behave more and more like us. As if there aren't enough of us already. As the machines are becoming more like us, we are becoming more like them.

Introspection time! Most of us wake up every morning like clockwork! Then we rush through the morning routines - get dressed, wade through the traffic, and reach our offices or schools or wherever people expect us to be. We spend the most hours of most days of our lives there, doing what we call our work or our duty. What exactly is this work? In most cases, it would be a set of instructions laid out to us by some higher authorities. 


Let us assume that you work at a tea stall. You could be spending most of your time boiling milk and adding tea leaves and sugar to it. When the milk boils, it rises up almost instantaneously and spills over the pot. Obviously, you did not know that when you started the new job. It is when the milk actually got spilt and your superior made you clean up the mess, you realized that the stove must be turned off or the flame be lowered as soon as the milk is boiled. Here, you learned something from an experience. In very basic terms, this is the very essence of machine learning.


How do we make machines learn? Well, the techies have come up with some cool techniques to go about that. While there are numerous techniques, the most common ones include classification, regression, clustering, and reinforcement learning.


This is not a series on Machine Learning. Therefore, we would not be discussing the techniques in detail. However, in the following write-ups, we shall take up some of the machine learning terminologies and look at how we have been applying similar concepts in our daily lives in a not so right manner, and how to unlearn the same.


Unlearn? Let’s find out.


Machine Unlearning is a series broken up into tiny, one-minute readable pieces to humor our ever-shortening attention span. Sharing the links to every single piece right below:



Comments

Popular posts from this blog

അത് എന്ത് കൊണ്ടായിരിക്കും?

അത് എന്ത് കൊണ്ടായിരിക്കും? ആക്ട് 1 : നമുക്ക് ആ ജനൽ ഒന്ന് തുറന്ന് അപ്പുറത്തേക്ക് നോക്കാം. പാശ്ചാത്യനാട്ടിലേക്ക് നോക്കിയാൽ ദേ അവിടെ 65  കാരനായ ജെയിംസ് കാമറൂൺ എക്കാലത്തെയും ഹിറ്റ് ചിത്രമായ അവതാറിന്റെ സീക്വലുകൾ പ്ലാൻ ചെയ്യുന്നു. 73 വയസ്സുള്ള സ്റ്റീവൻ സ്പിൽബെർഗ് മികച്ച ചിത്രങ്ങളായ ബ്രിഡ്ജ് ഓഫ് സ്‌പൈസ് (2015), റെഡി പ്ലെയർ വൺ (2018) ഒക്കെ പുറത്തിറക്കിയത് ഈ ദശാബ്ദത്തിലാണ്. ഐറിഷ് മാൻ സംവിധാനം ചെയ്യുമ്പോൾ മാർട്ടിൻ സ്കോർസെസെ യുടെ പ്രായം 75  കഴിഞ്ഞിരിക്കുന്നു. ഈയിടെ ഇംഗ്ലീഷ് സംവിധായകനായ കെൻ ലോക് ഇന്റെ രണ്ടു പുതിയ ചിത്രങ്ങൾ കാണാൻ ഇടയായി. 2016 ഇൽ പുറത്തിറങ്ങിയ ഐ, ഡാനിയൽ ബ്ലേക്ക് എന്ന ചിത്രവും 2019  ഇൽ സോറി വി മിസ്സ്ഡ് യൂ എന്ന ചിത്രവും ഹൃദയസ്പർശിയായ രീതിയിൽ ആണ് ചിത്രീകരിച്ചിരിക്കുന്നത്. 70 വയസ്സുള്ള സ്പാനിഷ് സംവിധായകൻ പെഡ്രോ അൽമൊഡോവർ, 60 വയസ്സുള്ള ഇറാനിയൻ സംവിധായകൻ മാജിദ് മജീദി, 59 എത്തിയ ദക്ഷിണ കൊറിയൻ സംവിധായകൻ കിം കി ഡുക്, ഇവരൊക്കെ സാമൂഹിക പ്രസക്ത്തിയുള്ള, മേന്മയുള്ള ചിത്രങ്ങൾ ഇപ്പോഴും സംവിധാനം ചെയ്യുന്നു. ആക്ട്  2: ഇനി നമുക്ക് ജനൽ അടച്ച് അകത്തേക്ക് നോക്കാം. എവിടെ ആണ് നമ്മുടെ മുത

Planet Perillamus

  Planet Perillamus An excited Ethoruthan broadcasted his findings to the Inter Universe Lifeform Detection Council. ‘I have discovered life on another planet.’ ‘Oh not again, Mx Ethoruthan!’, the Chairman of the council, Dan Maraman, shot back.‘ This is the eleventh time you are making such a claim over the last six months. How many missions have we launched to verify your claim - and have even one bore any result? These voyages are damn expensive, you know.’ ‘Please hear me out, Mx Maraman! This is not like the previous cases. I have proof.’ ‘What proof?’ Senior agent Thengaenthu was intrigued. ‘Do I have permission to present my thoughts to the council?’ Ethoruthan asked Maraman, Dan. ‘Yeah! You may.’ the Chairman relented warily. ‘Okay here is the interesting part. The life forms on this planet have devised something called movies - where some of them write unreal descriptions about unreal persons, and someone else would behave like those unreal persons. These behaviors would be re

Movie review : Raees

Title :  Raees Language : Hindi Year : 2017 Director : Rahul Dholakia Genre : Crime, Drama, Action IMDB Link Watch trailer on Youtube Lead Role : Shah Rukh Khan,  Nawazuddin Siddiqui, Mahira Khan Finally, an SRK movie that satisfied me after quite a while. While Fan had an exceptional first half, the movie lost connection post interval. And while Dear Zindagi satisfied the viewer in me, it cannot be termed as the star's movie, since Alia was the greater soul. But Raees is an all out King Khan show. The life sketch of a shrewd liquor baron, the socio-political landscape of the 80's Gujarat, all have been narrated by Rahul Dholakia with a realistic outlook with elements of drama to satisfy the average cine-goer and keep the cash box ringing. Nawazzuddin Siddiqui is a show stealer as the cop. The intro scene is one of the best in the movie. Ram Sampath has done a good job with music. Udi udi jaaye is my personal favorite. Though Raees is given a lar